@misc{10481/80260,
year = {2022},
url = {https://hdl.handle.net/10481/80260},
abstract = {Conversational interfaces have recently become ubiquitous in the personal sphere by improving
an individual’s quality of life and industrial environments by automating services and their corre-
sponding cost savings. However, designing the dialog model used by these interfaces to decide
the following response is a hard-to-accomplish task for complex conversational interactions. This
paper proposes a statistical-based dialog manager architecture, which provides flexibility to develop
and maintain this module. Our proposal has been integrated using DialogFlow, a natural language
understanding platform provided by Google to design conversational user interfaces. The proposed
hybrid architecture has been assessed with a real use case for a train scheduling domain, proving that
the user experience is highly valued and can be integrated into commercial setups},
publisher = {Springer},
keywords = {Conversational systems},
keywords = {Dialog management},
keywords = {Statistical approaches},
keywords = {DialogFlow},
title = {A proposal for Developing and Deploying Statistical Dialog Management in Commercial Conversational Platforms},
doi = {https://doi.org/10.1007/978-3-031-15471-3_35},
author = {Cañas, Pablo and Griol Barres, David and Callejas Carrión, Zoraida},
}